| dc.creator |
Jenkins, Stephen P. |
|
| dc.creator |
Lynn, Peter |
|
| dc.creator |
Jäckle, Annette |
|
| dc.creator |
Sala, Emanuela |
|
| dc.date |
2005 |
|
| dc.date.accessioned |
2013-10-16T06:59:33Z |
|
| dc.date.available |
2013-10-16T06:59:33Z |
|
| dc.date.issued |
2013-10-16 |
|
| dc.identifier |
http://hdl.handle.net/10419/18340 |
|
| dc.identifier |
ppn:491222068 |
|
| dc.identifier.uri |
http://koha.mediu.edu.my:8181/xmlui/handle/10419/18340 |
|
| dc.description |
Linkages of household survey responses with administrative data may be based on unique individual identifiers or on survey respondent characteristics. The benefits gained from using unique identifiers need to be assessed in the light of potential problems such as non-response and measurement error. We report on a study that linked survey responses to UK government agency records on benefits and tax credits in five different ways. One matched on a respondent- supplied National Insurance Number and the other four used different combinations of sex, name, address, and date of birth. As many linkages were made using matches on sex, date of birth, and post-code, or on sex, date of birth, first name and family name, as were made using matches on self-reported National Insurance Number, and the former were also relatively accurate when assessed in terms of false positive and false negative rates. The five independent matching exercises also shed light on the potential returns from hierarchical and pooled matching. |
|
| dc.language |
eng |
|
| dc.publisher |
Deutsches Institut für Wirtschaftsforschung (DIW) Berlin |
|
| dc.relation |
DIW-Diskussionspapiere 489 |
|
| dc.rights |
http://www.econstor.eu/dspace/Nutzungsbedingungen |
|
| dc.subject |
ddc:330 |
|
| dc.subject |
record linkage |
|
| dc.subject |
matching |
|
| dc.subject |
National Insurance number |
|
| dc.subject |
measurement error |
|
| dc.title |
Linking household survey and administrative record data: what should the matching variables be? |
|
| dc.type |
doc-type:workingPaper |
|